Representation methods of spatial objects with uncertainty and their application in GIS

Tao Cheng, Min Deng, Zhilin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


This paper investigates the causes and origins of uncertainties in spatial objects and their classifications. Then, several mathematical tools including fuzzy set theory, rough set theory and cloud theory are presented to handle these uncertainties. Later on, the linkages between these theories are further explored and a unified representation based upon the cloud theory is proposed. A practical example of a river with different water levels is provided to illustrate the usefulness of the methods proposed.
Original languageChinese (Simplified)
Pages (from-to)389-393
Number of pages5
JournalGeomatics and Information Science of Wuhan University
Issue number5
Publication statusPublished - 5 May 2007


  • Cloud theory
  • Fuzziness
  • Mechanism
  • Spatial object
  • Uncertainty

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science (miscellaneous)

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